Literature DB >> 23978394

Predominant typologies of psychopathology in the United States: a latent class analysis.

Renée El-Gabalawy1, Jack Tsai, Ilan Harpaz-Rotem, Rani Hoff, Jitender Sareen, Robert H Pietrzak.   

Abstract

BACKGROUND: Latent class analysis (LCA) offers a parsimonious way of classifying common typologies of psychiatric comorbidity. We used LCA to identify the nature and correlates of predominant typologies of Axis I and II disorders in a large and comprehensive population-based sample of U.S. adults.
METHODS: We analyzed data from Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (2004-2005; n = 34,653), a population-based sample of U.S. adults. We derived latent classes based on all assessed Axis I and II disorders and examined the relationship between the identified Axis I classes and lifetime psychiatric disorders and suicide attempts, and physical and mental health-related quality of life.
RESULTS: A four-class solution was optimal in characterizing predominant typologies of both Axis I and II disorders. For Axis I disorders, these included low psychopathology (n = 28,935, 84.0%), internalizing (n = 3693, 9.9%), externalizing (n = 1426, 4.5%), and high psychopathology (n = 599, 1.6%) classes. For Axis II disorders, these included no/low personality disorders (n = 31,265, 90.9%), obsessive/paranoid (n = 1635, 4.6%), borderline/dysregulated (n = 1319, 3.4%), and highly comorbid (n = 434, 1.1%) classes. Compared to the low psychopathology class, all other Axis I classes had significantly increased odds of mental disorders, elevated Axis II classes, suicide attempts and poorer quality of life, with the high psychopathology class having the overall highest rates of these correlates, with the exception of substance use disorders. Compared to the low psychopathology class, the internalizing and externalizing classes had increased rates of mood and anxiety disorders, and substance use disorders, respectively.
CONCLUSION: Axis I and II psychopathology among U.S. adults may be best represented by four predominant typologies. Characterizing co-occurring patterns of psychopathology using person-based typologies represents a higher-order classification system that may be useful in clinical and research settings. Published by Elsevier Ltd.

Entities:  

Keywords:  Axis I disorders; Axis II disorders; Comorbidity; Epidemiology; Quality of life; Suicide

Mesh:

Year:  2013        PMID: 23978394     DOI: 10.1016/j.jpsychires.2013.07.028

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  6 in total

Review 1.  A hierarchical causal taxonomy of psychopathology across the life span.

Authors:  Benjamin B Lahey; Robert F Krueger; Paul J Rathouz; Irwin D Waldman; David H Zald
Journal:  Psychol Bull       Date:  2016-12-22       Impact factor: 17.737

2.  Stratification of adolescents across mental phenomena emphasizes the importance of transdiagnostic distress: a replication in two general population cohorts.

Authors:  Jan Stochl; Hannah Jones; Emma Soneson; Adam P Wagner; Golam M Khandaker; Stanley Zammit; Jon Heron; Gemma Hammerton; Edward T Bullmore; Ray Dolan; Peter Fonagy; Ian M Goodyer; J Perez; Peter B Jones
Journal:  Eur Child Adolesc Psychiatry       Date:  2021-11-18       Impact factor: 4.785

3.  Latent class profile of psychiatric symptoms and treatment utilization in a sample of patients with co-occurring disorders.

Authors:  Luis Villalobos-Gallegos; Rodrigo Marín-Navarrete; Calos Roncero; Hugo González-Cantú
Journal:  Braz J Psychiatry       Date:  2017-01-09       Impact factor: 2.697

4.  Psychosocial Profiles of Patients Admitted to Psychiatric Emergency Services: Results from the Signature Biobank Project.

Authors:  Steve Geoffrion; Kévin Nolet; Charles-Édouard Giguère; Tania Lecomte; Stéphane Potvin; Sonia Lupien; Marie-France Marin
Journal:  Can J Psychiatry       Date:  2021-05-20       Impact factor: 5.321

Review 5.  Factors of psychological distress: clinical value, measurement substance, and methodological artefacts.

Authors:  J R Böhnke; T J Croudace
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2015-02-15       Impact factor: 4.328

6.  Attachment to Pets Moderates Transitions in Latent Patterns of Mental Health Following the Onset of the COVID-19 Pandemic: Results of a Survey of U.S. Adults.

Authors:  Shelby E McDonald; Kelly E O'Connor; Angela Matijczak; Camie A Tomlinson; Jennifer W Applebaum; Jennifer L Murphy; Barbara A Zsembik
Journal:  Animals (Basel)       Date:  2021-03-21       Impact factor: 2.752

  6 in total

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